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import { apiFetch } from '../api';
import './KnowledgeInput.css';
function KnowledgeInput({ onKnowledgeSubmit, isBusy, status }) {
const [text, setText] = useState('');
const [analysis, setAnalysis] = useState(null);
const [lastAnalysis, setLastAnalysis] = useState(null);
const [isAnalyzing, setIsAnalyzing] = useState(false);
const handleSubmit = () => {
if (!text.trim() || isBusy) return;
onKnowledgeSubmit(text);
if (analysis) {
setLastAnalysis(analysis);
} else {
// Fallback if they clicked instantly or text was < 50 chars
const charCount = text.length;
setLastAnalysis({
metrics: {
density: Math.min(charCount / 2000, 1.0),
chunks: Math.floor(charCount / 500) + 1,
estimated_links: 0,
reinforcement_index: 0
},
entities: [],
existing_links: []
});
}
setText('');
setAnalysis(null);
};
// Debounced analysis function
useEffect(() => {
if (text.length < 50) {
setAnalysis(null);
return;
}
const timer = setTimeout(async () => {
setIsAnalyzing(true);
try {
const res = await apiFetch('/api/v1/analyze', {
method: 'POST',
body: JSON.stringify({ text })
});
if (res.ok) {
const data = await res.json();
setAnalysis(data);
}
} catch (error) {
console.error('Analysis failed', error);
} finally {
setIsAnalyzing(false);
}
}, 1500); // 1.5s debounce
return () => clearTimeout(timer);
}, [text]);
const displayAnalysis = analysis || lastAnalysis;
return (
<div className="inscription-grid fade-in">
{/* ── LEFT: The Inscription Terminal ── */}
<div className="inscription-main">
{status && (
<div className="inscription-status fade-in">
<span className="material-icons">check_circle</span>
{status}
</div>
)}
<div className="inscription-header">
<div className="inscription-icon">
<span className="material-icons">auto_awesome</span>
</div>
<div className="inscription-title">
<h3>Neural Inscription</h3>
<p>Directly seed the core cortex with high-fidelity knowledge.</p>
</div>
</div>
<div className="inscription-composer">
<textarea
value={text}
onChange={(e) => {
setText(e.target.value);
if (lastAnalysis) setLastAnalysis(null);
}}
placeholder="Paste research, notes, or data chunks here for deep integration..."
maxLength={10000}
/>
<div className="inscription-footer">
<div className="inscription-stats">
<span className="char-count">{text.length} / 10000 Chars</span>
{isBusy && <span className="busy-tag pulse">Integrating...</span>}
{isAnalyzing && <span className="busy-tag pulse" style={{color: '#3b82f6'}}>Analyzing Pattern...</span>}
</div>
<button
className="inscription-btn"
onClick={handleSubmit}
disabled={!text.trim() || isBusy}
>
<span className="material-icons">memory</span>
Inscribe Knowledge
</button>
</div>
</div>
</div>
{/* ── RIGHT: Neural Analysis Preview ── */}
<div className="inscription-sidebar">
<div className="analysis-panel">
<div className="panel-label">
<span className="material-icons">biotech</span>
{(!analysis && lastAnalysis) ? 'Last Inscription Details' : 'Neural Analysis Preview'}
</div>
<div className="analysis-content">
<div className="analysis-metric">
<label>Information Density</label>
<div className="mini-meter">
<div className="mini-fill" style={{ width: `${(displayAnalysis?.metrics?.density || 0) * 100}%` }} />
</div>
<div className="metric-sub">
<span>{Math.round((displayAnalysis?.metrics?.density || 0) * 100)}% Salience</span>
</div>
</div>
<div className="analysis-metric">
<label>Knowledge Reinforcement</label>
<div className="mini-meter">
<div className="mini-fill" style={{
width: `${(displayAnalysis?.metrics?.reinforcement_index || 0) * 100}%`,
background: '#10b981'
}} />
</div>
<div className="metric-sub">
<span>{Math.round((displayAnalysis?.metrics?.reinforcement_index || 0) * 100)}% Integration</span>
</div>
</div>
<div className="analysis-section">
<label>Potential Semantic Links</label>
<div className="link-tags">
{(displayAnalysis?.entities || []).map((entity, i) => {
const isExisting = displayAnalysis?.existing_links?.some(l => l.name.toLowerCase() === entity.toLowerCase());
return (
<div
key={i}
className={`link-tag fade-in ${isExisting ? 'reinforced' : ''}`}
style={{animationDelay: `${i * 0.1}s`}}
>
<span className="dot" />
{entity}
{isExisting && <span className="material-icons reinforced-icon">offline_bolt</span>}
</div>
);
})}
{(!displayAnalysis?.entities || displayAnalysis.entities.length === 0) && (
<div className="empty-tag">
{isAnalyzing ? 'Decoding semantic structure...' : 'Awaiting sufficient context (50+ chars)...'}
</div>
)}
</div>
</div>
{displayAnalysis?.existing_links?.length > 0 && (
<div className="analysis-section fade-in">
<label>Reinforced Concepts</label>
<div className="existing-links-list">
{displayAnalysis.existing_links.map((link, i) => (
<div key={i} className="existing-link-item">
<span className="material-icons">hub</span>
<div className="link-info">
<strong>{link.name}</strong>
<span>{link.connections} existing connections</span>
</div>
</div>
))}
</div>
</div>
)}
<div className="analysis-section">
<label>Estimated Memory Impact</label>
<div className="impact-stats">
<div className="impact-item">
<span className="impact-val">{displayAnalysis?.metrics?.chunks || 0}</span>
<span className="impact-label">Sensory Chunks</span>
</div>
<div className="impact-item">
<span className="impact-val">{Math.floor(displayAnalysis?.metrics?.estimated_links || 0)}</span>
<span className="impact-label">Graph Triples</span>
</div>
</div>
</div>
<div className="analysis-section">
<label>Target Layers</label>
<div className="layer-item">
<span className="dot" style={{background: '#ff6b35'}} />
<span>Semantic Memory (Graph)</span>
</div>
<div className="layer-item">
<span className="dot" style={{background: '#10b981'}} />
<span>Sensory Cortex (Vector)</span>
</div>
</div>
</div>
<div className="panel-footer">
<span className="material-icons">info</span>
Data will be parsed into triples and vectorized.
</div>
</div>
</div>
</div>
);
}
export default KnowledgeInput;
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